DOI: 10.1016/j.atmosenv.2018.02.010
Scopus记录号: 2-s2.0-85042194589
论文题名: Estimation of atmospheric columnar organic matter (OM) mass concentration from remote sensing measurements of aerosol spectral refractive indices
作者: Zhang Y ; , Li Z ; , Sun Y ; , Lv Y ; , Xie Y
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2018
卷: 179 起始页码: 107
结束页码: 117
语种: 英语
英文关键词: Aerosol
; Chemical components
; Hygroscopicity
; Organic matter
; Remote sensing
Scopus关键词: Aerosols
; Air quality
; Atmospheric aerosols
; Atmospheric chemistry
; Biogeochemistry
; Biological materials
; Carbon
; Climate change
; Earth (planet)
; Organic compounds
; Refractive index
; Atmospheric columns
; Chemical component
; Complex refractive index
; Hygroscopicity
; In-situ observations
; Spectral characteristics
; Spectral refractive indices
; Volume distributions
; Remote sensing
; ammonium nitrate
; black carbon
; organic matter
; water
; aerosol
; Article
; priority journal
; remote sensing
; surface property
; water content
; wettability
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: Aerosols have adverse effects on human health and air quality, changing Earth's energy balance and lead to climate change. The components of aerosol are important because of the different spectral characteristics. Based on the low hygroscopic and high scattering properties of organic matter (OM) in fine modal atmospheric aerosols, we develop an inversion algorithm using remote sensing to obtain aerosol components including black carbon (BC), organic matter (OM), ammonium nitrate-like (AN), dust-like (DU) components and aerosol water content (AW). In the algorithm, the microphysical characteristics (i.e. volume distribution and complex refractive index) of particulates are preliminarily separated to fine and coarse modes, and then aerosol components are retrieved using bimodal parameters. We execute the algorithm using remote sensing measurements of sun-sky radiometer at AERONET site (Beijing RADI) in a period from October of 2014 to January of 2015. The results show a reasonable distribution of aerosol components and a good fit for spectral feature calculations. The mean OM mass concentration in atmospheric column is account for 14.93% of the total and 56.34% of dry and fine-mode aerosol, being a fairly good correlation (R = 0.56) with the in situ observations near the surface layer. © 2018 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82942
Appears in Collections: 气候变化事实与影响
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作者单位: State Environmental Protection Key Laboratory of Satellite Remote Sensing, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China; Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Recommended Citation:
Zhang Y,, Li Z,, Sun Y,et al. Estimation of atmospheric columnar organic matter (OM) mass concentration from remote sensing measurements of aerosol spectral refractive indices[J]. Atmospheric Environment,2018-01-01,179